






"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE   :							int          =		logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   :							Union[str, Any]          =		{
    '''microsoft/beit-base-patch16-224-pt22k''': (
        '''https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'''
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}






class 	a		(   __snake_case						):
    SCREAMING_SNAKE_CASE		:	str		=					"""beit"""






    def __init__(			self	:				List[str]			,		__SCREAMING_SNAKE_CASE	:				Dict=8192			,		__SCREAMING_SNAKE_CASE	:				Tuple=768			,		__SCREAMING_SNAKE_CASE	:				Union[str, Any]=12			,		__SCREAMING_SNAKE_CASE	:				List[Any]=12			,		__SCREAMING_SNAKE_CASE	:				Union[str, Any]=3072			,		__SCREAMING_SNAKE_CASE	:				Optional[Any]="gelu"			,		__SCREAMING_SNAKE_CASE	:				Optional[Any]=0.0			,		__SCREAMING_SNAKE_CASE	:				Optional[Any]=0.0			,		__SCREAMING_SNAKE_CASE	:				str=0.02			,		__SCREAMING_SNAKE_CASE	:				Tuple=1e-1_2			,		__SCREAMING_SNAKE_CASE	:				Optional[Any]=224			,		__SCREAMING_SNAKE_CASE	:				Optional[Any]=16			,		__SCREAMING_SNAKE_CASE	:				str=3			,		__SCREAMING_SNAKE_CASE	:				Optional[int]=False			,		__SCREAMING_SNAKE_CASE	:				List[Any]=False			,		__SCREAMING_SNAKE_CASE	:				str=False			,		__SCREAMING_SNAKE_CASE	:				Any=False			,		__SCREAMING_SNAKE_CASE	:				Optional[int]=0.1			,		__SCREAMING_SNAKE_CASE	:				List[str]=0.1			,		__SCREAMING_SNAKE_CASE	:				Dict=True			,		__SCREAMING_SNAKE_CASE	:				Tuple=[3, 5, 7, 11]			,		__SCREAMING_SNAKE_CASE	:				int=[1, 2, 3, 6]			,		__SCREAMING_SNAKE_CASE	:				Dict=True			,		__SCREAMING_SNAKE_CASE	:				List[Any]=0.4			,		__SCREAMING_SNAKE_CASE	:				Union[str, Any]=256			,		__SCREAMING_SNAKE_CASE	:				Optional[int]=1			,		__SCREAMING_SNAKE_CASE	:				List[Any]=False			,		__SCREAMING_SNAKE_CASE	:				Tuple=255			,		**__SCREAMING_SNAKE_CASE	:				Optional[Any]			,		)	->						str:
      super().__init__(**__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		vocab_size
      lowerCamelCase_       	=		hidden_size
      lowerCamelCase_       	=		num_hidden_layers
      lowerCamelCase_       	=		num_attention_heads
      lowerCamelCase_       	=		intermediate_size
      lowerCamelCase_       	=		hidden_act
      lowerCamelCase_       	=		hidden_dropout_prob
      lowerCamelCase_       	=		attention_probs_dropout_prob
      lowerCamelCase_       	=		initializer_range
      lowerCamelCase_       	=		layer_norm_eps

      lowerCamelCase_       	=		image_size
      lowerCamelCase_       	=		patch_size
      lowerCamelCase_       	=		num_channels
      lowerCamelCase_       	=		use_mask_token
      lowerCamelCase_       	=		use_absolute_position_embeddings
      lowerCamelCase_       	=		use_relative_position_bias
      lowerCamelCase_       	=		use_shared_relative_position_bias
      lowerCamelCase_       	=		layer_scale_init_value
      lowerCamelCase_       	=		drop_path_rate
      lowerCamelCase_       	=		use_mean_pooling
      # decode head attributes (semantic segmentation)
      lowerCamelCase_       	=		out_indices
      lowerCamelCase_       	=		pool_scales
      # auxiliary head attributes (semantic segmentation)
      lowerCamelCase_       	=		use_auxiliary_head
      lowerCamelCase_       	=		auxiliary_loss_weight
      lowerCamelCase_       	=		auxiliary_channels
      lowerCamelCase_       	=		auxiliary_num_convs
      lowerCamelCase_       	=		auxiliary_concat_input
      lowerCamelCase_       	=		semantic_loss_ignore_index






class 	a		(   __snake_case						):
    SCREAMING_SNAKE_CASE		:	int		=					version.parse("""1.11"""						)






    @property
    def   UpperCamelCase			(			self	:				Any   )	->						Mapping[str, Mapping[int, str]]:
      return OrderedDict(
          [
              ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
          ]   )






    @property
    def   UpperCamelCase			(			self	:				Tuple   )	->						float:
      return 1e-4












"""simple docstring"""





import functools
from typing import Any







def 	lowerCamelCase__			(				_lowerCamelCase			:						str						,							_lowerCamelCase			:						list[str]					) ->							bool:

  # Validation
  if not isinstance(_lowerCamelCase						,							_lowerCamelCase					) or len(_lowerCamelCase					) == 0:
    raise ValueError('the string should be not empty string'					)

  if not isinstance(_lowerCamelCase						,							_lowerCamelCase					) or not all(
      isinstance(_lowerCamelCase						,							_lowerCamelCase					) and len(_lowerCamelCase					) > 0 for item in words					):
    raise ValueError('the words should be a list of non-empty strings'					)

  # Build trie
  lowerCamelCase_       	=		{}
  lowerCamelCase_       	=		'WORD_KEEPER'

  for word in words:
    lowerCamelCase_       	=		trie
    for c in word:
      if c not in trie_node:
        lowerCamelCase_       	=		{}

      lowerCamelCase_       	=		trie_node[c]

    lowerCamelCase_       	=		True

  lowerCamelCase_       	=		len(_lowerCamelCase					)

  # Dynamic programming method
  @functools.cache
  def is_breakable(_lowerCamelCase			:						int					) -> bool:
    if index == len_string:
      return True

    lowerCamelCase_       	=		trie
    for i in range(_lowerCamelCase						,							_lowerCamelCase					):
      lowerCamelCase_       	=		trie_node.get(string[i]						,							_lowerCamelCase					)

      if trie_node is None:
        return False

      if trie_node.get(_lowerCamelCase						,							_lowerCamelCase					) and is_breakable(i + 1					):
        return True

    return False

  return is_breakable(0					)


if __name__ == "__main__":
  import doctest

  doctest.testmod()




